摘要
Abstract
Smart agriculture is regarded as a core direction of modern agriculture.Significant advantages are demonstrated by the Transformer model,through its self-attention mechanism,in capturing long-sequence dependencies and integrating multi-source data,offering a new pathway for the intelligent upgrading of agriculture.An analysis was presented of the model's application in scenarios such as crop growth monitoring,disaster early warning,and production management.Challenges including high model complexity,insufficient data adaptability,and weak interpretability were highlighted.Future development trends such as lightweight design,few-shot learning,and multi-technology collaboration were also outlined,with the aim of providing references for the large-scale application of the technology.关键词
Transformer模型/智慧农业/作物监测/灾害预警/生产管理Key words
Transformer model/smart agriculture/crop monitoring/disaster early warning/production management分类
农业科技
